Realize the design of special statistical charts such as regional heat maps and maps based on ECharts and Java interfaces-javaTutorial-php.cn

Realize the design of special statistical charts such as regional heat maps and maps based on ECharts and Java interfaces

王林

Release： 2023-12-18 19:11:30

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Realize the design of special statistical charts such as regional heat maps and maps based on ECharts and Java interfaces

With the development of data visualization, various special statistical charts have gradually become popular. More attention and applications. Regional heat maps and maps are two extremely common and useful statistical charts. This article will introduce how to implement the design of regional heat maps and maps based on ECharts and Java interfaces, and provide specific code examples.

1. Introduction to ECharts

ECharts is a flexible and powerful data visualization library open sourced by Baidu. It is based on JavaScript language and can provide beautiful and interactive chart display effects on web pages. The types of charts drawn by ECharts are diverse and can meet different statistical needs.

2. Design and implementation of regional heat map

The regional heat map uses the depth of color to represent the density distribution of regional data. The following is a design example for implementing a regional heat map based on ECharts and Java interfaces.

Back-end code (Java):

@RestController
@RequestMapping("/api")
public class HeatMapController {
    
    @Autowired
    private HeatMapService heatMapService;
    
    @GetMapping("/heatMapData")
    public List<HeatMapData> getHeatMapData() {
        return heatMapService.getHeatMapData();
    }
}

@Service
public class HeatMapService {

    public List<HeatMapData> getHeatMapData() {
        // 从数据库或其他数据源获取热力图数据
        List<HeatMapData> heatMapDataList = new ArrayList<>();
        // 假设数据格式为：{x, y, value}
        heatMapDataList.add(new HeatMapData(10, 20, 100));
        heatMapDataList.add(new HeatMapData(20, 30, 150));
        heatMapDataList.add(new HeatMapData(30, 40, 200));
        return heatMapDataList;
    }
}

public class HeatMapData {
    private int x;
    private int y;
    private int value;

    // getters and setters
}

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Front-end code (JavaScript):

$.ajax({
    url: '/api/heatMapData',
    method: 'GET',
    success: function(data) {
        var heatData = [];
        for (var i = 0; i < data.length; i++) {
            heatData.push([data[i].x, data[i].y, data[i].value]);
        }
        
        // 使用ECharts绘制区域热力图
        var myChart = echarts.init(document.getElementById('heatMap'));
        var option = {
            tooltip: {},
            series: [{
                type: 'heatmap',
                data: heatData
            }]
        };
        myChart.setOption(option);
    }
});

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HTML page ：

<!DOCTYPE html>
<html>
<head>
    <title>区域热力图</title>
    <link rel="stylesheet" href="https://cdn.bootcss.com/echarts/4.3.0/echarts.min.css">
    <script src="https://cdn.bootcss.com/jquery/3.4.1/jquery.min.js"></script>
    <script src="https://cdn.bootcss.com/echarts/4.3.0/echarts.min.js"></script>
</head>
<body>
    <div id="heatMap" style="width: 600px; height: 400px;"></div>
</body>
</html>

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Through the above code example, we can implement a regional heat map design based on ECharts and Java interface. First, the back-end Java code provides an interface /api/heatMapData for obtaining heat map data. Then, the front end requested data through Ajax and used the ECharts library to draw a regional heat map.

3. Map design and implementation

Map is another common statistical chart type and can be implemented through ECharts and Java interfaces. The following is an example of map design based on ECharts and Java interface.

Back-end code (Java):

@RestController
@RequestMapping("/api")
public class MapController {
    
    @Autowired
    private MapService mapService;
    
    @GetMapping("/mapData")
    public List<MapData> getMapData() {
        return mapService.getMapData();
    }
}

@Service
public class MapService {

    public List<MapData> getMapData() {
        // 从数据库或其他数据源获取地图数据
        List<MapData> mapDataList = new ArrayList<>();
        // 假设数据格式为：{name, value}
        mapDataList.add(new MapData("北京", 100));
        mapDataList.add(new MapData("上海", 150));
        mapDataList.add(new MapData("广州", 200));
        return mapDataList;
    }
}

public class MapData {
    private String name;
    private int value;

    // getters and setters
}

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Front-end code (JavaScript):

$.ajax({
    url: '/api/mapData',
    method: 'GET',
    success: function(data) {
        var mapData = [];
        for (var i = 0; i < data.length; i++) {
            mapData.push({name: data[i].name, value: data[i].value});
        }
        
        // 使用ECharts绘制地图
        var myChart = echarts.init(document.getElementById('map'));
        var option = {
            tooltip: {},
            visualMap: {
                min: 0,
                max: 500,
                left: 'left',
                top: 'bottom',
                text: ['高', '低'],
                calculable: true
            },
            series: [{
                type: 'map',
                map: 'china',
                data: mapData
            }]
        };
        myChart.setOption(option);
    }
});

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HTML page ：

<!DOCTYPE html>
<html>
<head>
    <title>地图</title>
    <link rel="stylesheet" href="https://cdn.bootcss.com/echarts/4.3.0/echarts.min.css">
    <script src="https://cdn.bootcss.com/jquery/3.4.1/jquery.min.js"></script>
    <script src="https://cdn.bootcss.com/echarts/4.3.0/echarts.min.js"></script>
</head>
<body>
    <div id="map" style="width: 600px; height: 400px;"></div>
</body>
</html>

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Through the above code example, we can implement a map design based on ECharts and Java interface. The back-end Java code provides an interface /api/mapData for obtaining map data. The front end requests data through Ajax and uses the ECharts library to draw a map of China.

To sum up, by combining ECharts and Java interfaces, we can easily realize the design of special statistical charts such as regional heat maps and maps. The above code examples are only basic implementations, and specific business logic and data sources need to be expanded and modified according to actual needs.

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